Abstract

Knowing public transport service’s user satisfaction is essential to maintaining and increasing its quality and demand. Several studies have analysed the factors influencing users’ satisfaction, considering their perceptions of specific attributes of the service. However, other aspects, such as the spatial distribution of users, i.e., their origin neighbourhoods, could significantly affect their satisfaction with the service, showing social inequity patterns. This paper proposes a new methodology to evaluate whether these spatial differences in satisfaction exist. Using the city of Santander (Spain) as an example, ordered probit models have been estimated, linking the bus users’ overall satisfaction with variables that include their perceptions of the service and socio-demographic characteristics, and with dummy variables which classify each trip according to its neighbourhood origin. Our results confirm the existence of variations in satisfaction depending on the area of the city under study. In addition, user characterization variables, such as age, which were not significant when considering the city as a whole, proved to be influential in some areas. The estimated model, considering spatial differences, had a higher goodness of fit than that of models not taking zoning into account, and reproduced the overall satisfaction pattern presented in the study area with less error. The consideration of spatial differences in the modelling process enabled the detection of priority areas in which to implement measures to improve service quality and equity, thus increasing the use of public transport and supporting the promotion of a more sustainable mobility.

Highlights

  • Promoting public transport quality and demand is one of the key goals of mobility policies aimed at achieving sustainable cities [1,2]

  • Results of the Ordered Probit model Once the results from the survey were discretized by zone, the step of the methodology was the estimation of ordered probit models to check which spatial differences existed regarding

  • Once the results from the survey were discretized by zone, the step of the methodology was the estimation of ordered probit models to check which spatial differences existed regarding customers’ preferences

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Summary

Introduction

Promoting public transport quality and demand is one of the key goals of mobility policies aimed at achieving sustainable cities [1,2]. The comfort, flexibility and speed of private mobility modes [3] have contributed to diminish public transport’s relevance and presence in the modal share of many urban areas. This is the case of the United States, where the modal share of public transport has been historically low (

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